Software Engineer, Autonomous Systems

About Us

DeepSea is a maritime technology leader providing a unified optimisation platform that helps shipping companies cut fuel consumption reduce emissions and transform vessel performance across entire fleets.

Built on the most advanced maritime AI data pool in the world DeepSeas platform powers everything from vessel monitoring to advanced automation - helping clients achieve measurable results with clarity speed and scale.

We are trusted by some of the worlds most forward-thinking ship owners and operators and our team spans Greece the UK Armenia Romania Singapore and Japan. As the shipping industry undergoes enormous change we are at the centre of that transition - helping our customers take control reduce risk and build competitive advantage.

About the position

As a Software Engineer Autonomous Systems you will be a core member of our R&I team working at the intersection of software engineering and research. Your primary responsibility will be to translate machine learning methods control algorithms and pipelines for autonomous systems into robust production-grade software deployed in real-world systems.
This role requires a functional understanding of the underlying physical systems proficiency in Python and Object-Oriented Programming (OOP) and a proactive technical mindset to advance our software stack.

This role is suitable for those who have prior experience building high-reliability production-grade software for physical systems and collaborating within cross-disciplinary teams to develop and own the software stack.

Key responsibilities include

• Convert research prototypes for motion learning prediction and control to production-grade software.

• Design and develop our software stack according to a functional understanding of the underlying physical systems and business and technical requirements.

• Implement integrate improve and support our software stack for autonomous systems.

• Perform pair programming unit testing functional testing integration testing simulation testing and monitoring.

• Collaborate with research machine learning software MLOps and robotics engineers.

• Collaborate and guide fellow engineers to design and develop maintainable and testable software.

• Work in a culture of peer review and constructive feedback to enhance the quality of R&D outputs.

Main Requirements

• Masters degree in Software Engineering Computer Engineering Robotics or a closely related technical field.

• 5 years of professional software development experience primarily in Python with strong emphasis on:
  - Object-Oriented Programming (OOP)
  - Software architecture and design patterns
  - Version control systems (e.g. Git)
  - Development of automatic tests (unit functional integration and simulation)
  - CI/CD pipelines and production deployment practices

• Proven experience building production-grade reliable and scalable software.

• Foundational understanding in one or more of physics systems robotics ML and simulation with a strong desire to learn and contribute to learning control and simulation pipelines.

• Strong communication and collaboration skills in an agile dynamic and cross-disciplinary environment.

Desired but not mandatory

• Professional programming proficiency with C.

• Prior professional software and system integration experience in autonomous systems.

• Familiarity with robotic middleware platforms especially ROS/ROS2.

• Familiarity with CasADi or similar computational graph frameworks (e.g. PyTorch TensorFlow JAX etc).

• Experience translating research prototypes into robust production-ready software.

• Prior experience in multinational projects with remote collaboration.

What we offer

You will be part of a dynamic team focused on delivering results and continuous improvement while disrupting the industry and will also receive:

• Competitive remuneration package: Skill & experience-based salary commission package and eligibility for additional employee benefits.

• Health Package: Private health insurance coverage and mental health - therapist benefit

• Tech Equipment Package: Laptop and other policy-based equipment

• Paid leaves: Paid study emergency and medical leaves.

• Learning and Development Package: Access to courses platform and eligibility for seminars conferences and workshops

• Team Building: Team outings and events. Paid trips to our offices to meet the team physically if not based in Athens

• Remote Flexibility: Great office space in the heart of Athens and remote option. Fully remote option for the non-Athens-based

At DeepSea we are looking for people who share our values and are aligned with our mission. It is important to us to ensure that no one who is eager and capable of contributing constructively to our team is excluded because of ethnic or social origin gender or sexuality age or family status disability or medical conditions etc. Diversity is well-proven to be a vital characteristic of teams that succeed so we do everything we can to make our environment welcoming and safe for everyone.

Data Privacy
The company ensures that the personal data of candidates is handled with care and in compliance with GDPR regulations. Your personal data will be stored securely and only for the duration necessary under the law. If the recruitment process is unsuccessful your data will be retained for 5 (five) years to consider you for future opportunities. After this period your data will be deleted or case you do not wish for the company to keep your CV and personal data please send an e-mail to .